Senslytics Corporation

États‑Unis d’Amérique

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Type PI
        Brevet 9
        Marque 2
Date
Nouveautés (dernières 4 semaines) 1
2024 mars (MACJ) 1
2024 (AACJ) 1
2022 2
2019 4
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Classe IPC
G06F 11/00 - Détection d'erreurs; Correction d'erreurs; Contrôle de fonctionnement 4
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison 3
F41A 17/06 - Sûretés électriques ou électromécaniques 2
F41C 33/02 - Etuis, c. à d. gaines de pistolets, p.ex. de revolvers, comportant des moyens pour les porter ou pour le porter sur soi, p.ex. à la ceinture ou sous le bras 2
F41C 9/02 - Pistolets dissimulés, p.ex. dans un crayon 2
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Statut
En Instance 2
Enregistré / En vigueur 9
Résultats pour

1.

Empirical formula-based estimation techniques based on correcting situational bias

      
Numéro d'application 17947827
Statut En instance
Date de dépôt 2022-09-19
Date de la première publication 2024-03-21
Propriétaire SENSLYTICS CORPORATION (USA)
Inventeur(s)
  • Chakraborty, Rabindra
  • Raghorte, Manoj

Abrégé

An improved empirical formula-based estimation techniques based on correcting situational bias includes generating a map associated with situational bias in one or more empirical formulas. The map corresponds to trajectories of outputs for the one or more empirical formulas, where each trajectory of the trajectories is based on a change to an influencer variable of the one or more empirical formulas. The influencer variable is associated with data that is stable during the change to the influencer variable. The improved empirical formula-based estimation technique further includes identifying a convergence in the trajectories of the outputs for the one or more empirical formulas, where the convergence is based on adaptable boundary conditions and indicative of a compensation for the situational bias in the one or more empirical formulas, and outputting an inference based on the convergence in the trajectories of the outputs for the one or more empirical formulas.

Classes IPC  ?

  • G06N 5/04 - Modèles d’inférence ou de raisonnement
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

2.

AUTO-HYPOTHESES ITERATION TO CONVERGE INTO SITUATION-SPECIFIC SCIENTIFIC CAUSATION USING INTUITION TECHNOLOGY FRAMEWORK

      
Numéro d'application 17578185
Statut En instance
Date de dépôt 2022-01-18
Date de la première publication 2022-05-05
Propriétaire SENSLYTICS CORPORATION (USA)
Inventeur(s)
  • Chakraborty, Rabindra
  • Kalra, Jay
  • Awasthi, Anupam
  • Awasthi, Amol

Abrégé

Methods and systems correlating hypotheses outcomes using relevance scoring for intuition based forewarning are disclosed. For one example, an intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of the system. The collected core data and ring data are analyzed to determine one or more changing situations of the system. A relevance score is provided for each determined changing situation of the system based on the analyzed core data and ring data. Each determined situation is correlated with one or more hypotheses outcomes representing a future system state based on the relevance score. The hypotheses may be modified using, for example, auto-hypothesis generation. A system forewarning is generated based on the correlated hypotheses outcomes which can be observed by one or more users.

Classes IPC  ?

  • G06F 11/00 - Détection d'erreurs; Correction d'erreurs; Contrôle de fonctionnement
  • H04L 67/02 - Protocoles basés sur la technologie du Web, p.ex. protocole de transfert hypertexte [HTTP]
  • H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p.ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance

3.

Method and apparatus for applying intuition technology to better preserve grains against pest damages in smart silos

      
Numéro d'application 17066098
Numéro de brevet 11849677
Statut Délivré - en vigueur
Date de dépôt 2020-10-08
Date de la première publication 2022-04-14
Date d'octroi 2023-12-26
Propriétaire SENSLYTICS CORPORATION (USA)
Inventeur(s)
  • Chakraborty, Rabindra
  • Awasthi, Anupam
  • Awasthi, Amol
  • Kalra, Jay

Abrégé

Methods and systems for performing pest infestation forewarning are described. In one embodiment, intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of grain storage container-based (e.g., silo-based) environments. The collected core data and ring data are analyzed to determine one or more changing situations of the storage container-based (e.g., silo-based) environments. A system forewarning is generated based on the changing situations that are observed.

Classes IPC  ?

4.

Systems, methods, and apparatuses for implementing video shooting guns and personal safety management applications

      
Numéro d'application 16562208
Numéro de brevet 10816292
Statut Délivré - en vigueur
Date de dépôt 2019-09-05
Date de la première publication 2019-12-26
Date d'octroi 2020-10-27
Propriétaire SENSLYTICS CORPORATION (USA)
Inventeur(s)
  • Chakraborty, Rabindra
  • Kalra, Jay
  • Awasthi, Anupam
  • Awasthi, Amol

Abrégé

In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing video shooting guns and personal safety management applications. An exemplary personal safety device may include, for example, a processor and a memory to execute instructions; a rechargeable battery to electrically power the personal safety device; a front facing video camera to capture video data of a scene anterior to a front face of the personal safety device; a rear facing video camera to capture video data of a scene posterior to a rear of the personal safety device; an audio capture device to capture audio data from an environment within which the personal safety device is to operate; a trigger to initiate recording of the front facing video camera, the rear facing video camera, and the audio capture device when triggered by an operator of the personal safety device; and a transceiver to transmit the recorded video data from the front and rear cameras and the captured audio data to a remote location over a network. According to another embodiment, a holster operates in conjunction with a body camera to activate audio and video capture and streaming upon removal of a firearm from the holster. Other related embodiments are disclosed.

Classes IPC  ?

  • F41A 17/06 - Sûretés électriques ou électromécaniques
  • H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c. à d. systèmes dans lesquels le signal vidéo n'est pas diffusé
  • H04N 1/00 - Balayage, transmission ou reproduction de documents ou similaires, p.ex. transmission de fac-similés; Leurs détails
  • H04N 5/232 - Dispositifs pour la commande des caméras de télévision, p.ex. commande à distance
  • F41C 33/02 - Etuis, c. à d. gaines de pistolets, p.ex. de revolvers, comportant des moyens pour les porter ou pour le porter sur soi, p.ex. à la ceinture ou sous le bras
  • G06Q 50/26 - Services gouvernementaux ou services publics
  • H04W 4/80 - Services utilisant la communication de courte portée, p.ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
  • H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
  • H04N 5/77 - Circuits d'interface entre un appareil d'enregistrement et un autre appareil entre un appareil d'enregistrement et une caméra de télévision
  • F41C 9/02 - Pistolets dissimulés, p.ex. dans un crayon
  • H04N 5/247 - Disposition des caméras de télévision
  • F41J 5/10 - Systèmes cinématographiques indicateurs de coups au but
  • H04W 4/33 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les environnements intérieurs, p.ex. les bâtiments

5.

Methods and systems correlating hypotheses outcomes using relevance scoring for intuition based forewarning

      
Numéro d'application 16161944
Numéro de brevet 11226856
Statut Délivré - en vigueur
Date de dépôt 2018-10-16
Date de la première publication 2019-03-21
Date d'octroi 2022-01-18
Propriétaire SENSLYTICS CORPORATION (USA)
Inventeur(s)
  • Chakraborty, Rabindra
  • Kalra, Jay
  • Awasthi, Anupam
  • Awasthi, Amol

Abrégé

Methods and systems correlating hypotheses outcomes using relevance scoring for intuition based forewarning are disclosed. For one example, an intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of the system. The collected core data and ring data are analyzed to determine one or more changing situations of the system. A relevance score is provided for each determined changing situation of the system based on the analyzed core data and ring data. Each determined situation is correlated with one or more hypotheses outcomes representing a future system state based on the relevance score. A system forewarning is generated based on the correlated hypotheses outcomes which can be observed by one or more users.

Classes IPC  ?

  • G06F 11/00 - Détection d'erreurs; Correction d'erreurs; Contrôle de fonctionnement
  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole

6.

Method of intuition generation

      
Numéro d'application 16125263
Numéro de brevet 10445162
Statut Délivré - en vigueur
Date de dépôt 2018-09-07
Date de la première publication 2019-01-17
Date d'octroi 2019-10-15
Propriétaire SENSLYTICS CORPORATION (USA)
Inventeur(s)
  • Chakraborty, Rabindra
  • Kalra, Jay
  • Awasthi, Anupam
  • Awasthi, Amol

Abrégé

An apparatus and a method are disclosed herein for improving predictive and preventive analytics, event tracking and processing of large combinations of data. In one embodiment, a method comprising, receiving a first data set, the first data set including data from a plurality of sources; applying a first rule set to the first subset; responsive to detecting an emergency as a result of the application of the first rule set, generating an emergency notification; generating an intuition by (a) applying a second rule set to a second subset of the first data set, the second rule set selected from one or more rule sets based on the emergency notification, and (b) selecting a course of action based on a result of the application of the second predefined rule set; and providing the course of action to a user is disclosed.

Classes IPC  ?

  • G06F 11/00 - Détection d'erreurs; Correction d'erreurs; Contrôle de fonctionnement
  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison

7.

SENSLYTICS LEADER OF LEAD TIME

      
Numéro de série 88247737
Statut Enregistrée
Date de dépôt 2019-01-02
Date d'enregistrement 2020-03-10
Propriétaire Senslytics Corporation ()
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Software authoring; Software design and development; Software porting; Computer software consultation; Computer software design; Computer software rental; Copying of computer software; Customizing computer software; Developing computer software; Installation of computer software; Maintenance of computer software; Rental of application software; Renting computer software; Testing of computer software; Updating of computer software

8.

Systems, methods, and apparatuses for implementing video shooting guns and personal safety management applications

      
Numéro d'application 15160213
Numéro de brevet 10443966
Statut Délivré - en vigueur
Date de dépôt 2016-05-20
Date de la première publication 2017-10-05
Date d'octroi 2019-10-15
Propriétaire SENSLYTICS CORPORATION (USA)
Inventeur(s)
  • Chakraborty, Rabindra
  • Kalra, Jay
  • Awasthi, Anupam
  • Awasthi, Amol

Abrégé

In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing video shooting guns and personal safety management applications. An exemplary personal safety device may include, for example, a processor and a memory to execute instructions; a rechargeable battery to electrically power the personal safety device; a front facing video camera to capture video data of a scene anterior to a front face of the personal safety device; a rear facing video camera to capture video data of a scene posterior to a rear of the personal safety device; an audio capture device to capture audio data from an environment within which the personal safety device is to operate; a trigger to initiate recording of the front facing video camera, the rear facing video camera, and the audio capture device when triggered by an operator of the personal safety device; and a transceiver to transmit the recorded video data from the front and rear cameras and the captured audio data to a remote location over a network. According to another embodiment, a holster operates in conjunction with a body camera to activate audio and video capture and streaming upon removal of a firearm from the holster. Other related embodiments are disclosed.

Classes IPC  ?

  • H04N 5/77 - Circuits d'interface entre un appareil d'enregistrement et un autre appareil entre un appareil d'enregistrement et une caméra de télévision
  • F41A 17/06 - Sûretés électriques ou électromécaniques
  • H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c. à d. systèmes dans lesquels le signal vidéo n'est pas diffusé
  • H04N 1/00 - Balayage, transmission ou reproduction de documents ou similaires, p.ex. transmission de fac-similés; Leurs détails
  • H04N 5/232 - Dispositifs pour la commande des caméras de télévision, p.ex. commande à distance
  • F41C 33/02 - Etuis, c. à d. gaines de pistolets, p.ex. de revolvers, comportant des moyens pour les porter ou pour le porter sur soi, p.ex. à la ceinture ou sous le bras
  • G06Q 50/26 - Services gouvernementaux ou services publics
  • H04W 4/04 - dans un environnement spécialisé, p.ex. des immeubles ou des véhicules
  • H04W 4/80 - Services utilisant la communication de courte portée, p.ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
  • H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
  • F41C 9/02 - Pistolets dissimulés, p.ex. dans un crayon
  • F41J 5/10 - Systèmes cinématographiques indicateurs de coups au but
  • H04N 5/247 - Disposition des caméras de télévision

9.

LEADER OF LEAD TIME

      
Numéro de série 87444442
Statut Enregistrée
Date de dépôt 2017-05-10
Date d'enregistrement 2019-11-19
Propriétaire Senslytics Corporation ()
Classes de Nice  ? 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Software as a service (SAAS) services featuring data collection and predictive analysis software for industry; providing SAAS, namely, providing software for software platform integration to and with existing systems and equipment to enable companies to engage real time equipment failure monitoring and prevention; SAAS services featuring comprehensive software platform, integrated application programming interface software, configurable software engines and database analysis software, and attendant operating and application software for sensors and actuators and related hardware, all for integration with client systems, structures, processes and equipment, to enable clients to monitor equipment and processes to detect failures, inefficiencies, or stressors in order to prevent emergencies, disruptions, equipment and process failures, and allow for early analysis and response; SAAS services featuring software for the oil and gas industry to enable management, administration, analytics, and reporting for regulatory compliance; SAAS services featuring software for regulatory inspections of manufacturing plants and for manufacturing plants to be compliant with regulations; providing Internet of Things (IoT) integration services in the field of data collection and predictive analytics, namely, through implementation of software platform, application programming interface modules, sensors and actuators, related connective software, hardware and assembly in order to integrate disparate computer systems, networks, hardware and software, manufacturing equipment, to facilitate early warning detection of malfunctions, stressors, and predictive events and allow for remote monitoring and response; providing temporary use of on-line non-downloadable software allowing users and enterprise software applications to interface with remote devices and to allow connectivity, management, monitoring, auditing, all via a computer network; providing SAAS, namely, providing software-based solution to allows users or enterprise software applications to interface with, connect to and manage remote devices and providing a computing platform and solution that allows users or enterprise software applications to interface with, connect to and manage remote devices in integrated data collection and predictive analytics solution; consulting with regard to computer systems, computer network connectivity hardware and computer network connectivity software and middleware; technical support services, namely, troubleshooting and diagnosing system software, integration and connectivity software and middleware; computer services, namely, providing remote management of remote devices via computer networks; technical consulting and assistance with computer-based information systems and components, namely, technical consulting services in the field of data collection and predictive analytics to provide forewarning against losses, inefficiencies, and wastage

10.

Method of intuition generation

      
Numéro d'application 14735975
Numéro de brevet 10073724
Statut Délivré - en vigueur
Date de dépôt 2015-06-10
Date de la première publication 2016-10-27
Date d'octroi 2018-09-11
Propriétaire SENSLYTICS CORPORATION (USA)
Inventeur(s)
  • Chakraborty, Rabindra
  • Kalra, Jay
  • Awasthi, Anupam
  • Awasthi, Amol

Abrégé

An apparatus and a method are disclosed herein for improving predictive and preventive analytics, event tracking and processing of large combinations of data. In one embodiment, a method comprising, receiving a first data set, the first data set including data from a plurality of sources; applying a first rule set to the first subset; responsive to detecting an emergency as a result of the application of the first rule set, generating an emergency notification; generating an intuition by (a) applying a second rule set to a second subset of the first data set, the second rule set selected from one or more rule sets based on the emergency notification, and (b) selecting a course of action based on a result of the application of the second predefined rule set; and providing the course of action to a user is disclosed.

Classes IPC  ?

  • G06F 11/00 - Détection d'erreurs; Correction d'erreurs; Contrôle de fonctionnement
  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison

11.

Data insight and intuition system for tank storage

      
Numéro d'application 14497105
Numéro de brevet 10061833
Statut Délivré - en vigueur
Date de dépôt 2014-09-25
Date de la première publication 2016-03-31
Date d'octroi 2018-08-28
Propriétaire SENSLYTICS CORPORATION (USA)
Inventeur(s)
  • Chakraborty, Rabindra
  • Kalra, Jay
  • Awasthi, Anupam
  • Awasthi, Amol

Abrégé

Systems are disclosed herein for improving analytic processing and processing for handling severe outliers in a dataset that cause predictive analytic processing to fail. In one embodiment, the system comprises one or more processors, a memory communicatively coupled to the one or more processors and to store logic, the logic, upon being executed by the one or more processors, transmits instructions to filter data for only a specified one or more variables, receives a first set of specified variables corresponding to a first external database, upon receiving the first set of specified variables, accessing a second set of specified variables corresponding to a second external database, accessing a third set of specified variables corresponding to a third external database, and performing predictive analytic processing using the first set of specified variables, the second set of specified variables and the third set of specified variables to generate a first insight.

Classes IPC  ?

  • G06F 7/00 - Procédés ou dispositions pour le traitement de données en agissant sur l'ordre ou le contenu des données maniées
  • G06F 17/00 - TRAITEMENT ÉLECTRIQUE DE DONNÉES NUMÉRIQUES Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques
  • G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet